Precision Nutrition and Artificial Intelligence Mobile Apps: A Narrative Review

Autor: Michele Antonelli, Davide Donelli
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Biology and Life Sciences Forum, Vol 29, Iss 1, p 25 (2023)
Druh dokumentu: article
ISSN: 2673-9976
DOI: 10.3390/IECN2023-15532
Popis: This literature overview describes the potential benefits associated with the integration of precision nutrition and artificial intelligence (AI). PubMed was searched up to June 2023 to identify clinical studies that focused on AI dietary apps used in precision nutrition. The search yielded a total of 198 results, out of which 7 clinical studies were deemed relevant and included in this analysis. These studies examined the applications of AI mobile apps in various areas, including regulating nutrient intake, aiding in weight loss, enhancing dietary treatments for chronic diseases, and predicting metabolic parameters, such as glucose levels in individuals with diabetes. Despite some limitations, the findings indicate that these apps demonstrated a satisfactory level of accuracy in accomplishing their intended tasks. The advantages and limitations of utilizing AI-based tools for nutritional support are then discussed. In conclusion, the integration of precision nutrition and AI presents transformative opportunities for personalized health. By harnessing the computational power of AI, researchers and healthcare practitioners can unlock the potential of large-scale data analysis for tailored dietary interventions.
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje